Company AI Risk Explorer
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Welcome to the Company AI Risk Explorer

This tool maps what large global companies say in public about AI risk. We reviewed public documents from roughly 200 of the world's largest companies. We coded every risk they acknowledge against the AI Risk Repository taxonomy.

Filter by company, sector, AI role, or risk. Compare what companies acknowledge against expert ratings of severity, sector vulnerability, and role responsibility.

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Companies × risks

Coinbase

Coinbase deploys third-party and open-source LLMs through its CB-GPT platform (integrating Azure, GCP, Anthropic, Llama, and Mistral) and has built AgentKit for AI agent integration. It also develops specialised ML models internally for fraud/risk, security, and platform optimisation.

We reviewed 2 public documents from Coinbase and found it acknowledges 3 of 24 AI risks, including fraud & scams and disinformation & influence.

Sector: Finance and Insurance

Roles: AI deployer; Specialized AI developer

AI risks Coinbase acknowledges

  • Fraud & scams: “The increasing sophistication of AI poses a greater risk of identity fraud, as malicious actors may exploit various AI technologies to create increasingly convincing false identities, transaction records, or attempt to manipulate our verification processes.” (Coinbase Global, Inc. 10-K Annual Report (FY2025))
  • Disinformation & influence: “generative AI has the ability to supercharge disinformation... we've already seen this come to life, from faked images showing the Pentagon was attacked to how AI is being used in the Russia-Ukraine war to spread disinformation.” (Blockchain and Artificial Intelligence (AI): Complementary Technologies That Can Make Each Other Better)
  • Transparency & interpretability: “One of the key challenges of AI is that its decisions are not transparent” (Blockchain and Artificial Intelligence (AI): Complementary Technologies That Can Make Each Other Better)

Documents we reviewed